Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3.1 (Deployable)
Cerebrium
Intelligence Score
65/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Commercial / Paid
Dolphin Mixtral
Venice.ai
Intelligence Score
65/100
Context Window
32K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 3.1 (Deployable) Wins
Equal intelligence scores (65/100), but Llama 3.1 (Deployable) offers a significantly larger context window.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 3.1 (Deployable)
|
Dolphin Mixtral
|
|---|---|---|
|
Context Window
|
128K | 32K tokens |
|
Architecture
|
Transformer (Open Weight) | Mixture of Experts (MoE) |
|
Est. MMLU Score
|
~60-64% | ~60-64% |
|
Release Date
|
Jul 2024 | 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
Pay-per-second compute | 10 RPM (free tier) |
|
Daily Limit
|
Credit-based | Limited daily usage |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
C-Tier (Good) | C-Tier (Good) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Llama 3.1 (Deployable)
vs
Meta: Llama 3.3 70B Instruct (free)
Dolphin Mixtral
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 (Deployable)
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Dolphin Mixtral
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 (Deployable)
vs
DeepSeek: R1 Distill Llama 70B (free)
Dolphin Mixtral
vs
DeepSeek: R1 Distill Llama 70B (free)
Dolphin Mixtral
vs
Llama 3.2 3B
Dolphin Mixtral
vs
Llama 3.1 (Any Size)
Dolphin Mixtral
vs
Llama 3.2 11B Vision
Dolphin Mixtral
vs
Llama 3.1 8B Instruct
Dolphin Mixtral
vs
meta/llama-3-70b-instruct
Dolphin Mixtral
vs
Llama 3.3 70B Instruct